3 papers
stat.ML2020
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens +3
Comparing competing mathematical models of complex natural processes is a shared goal among many branches of science. The Bayesian probabilistic framework offers a principled way t…
q-bio.NC2020
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
Marco D'Alessandro, Stefan T. Radev, Andreas Voss +1
Adaptive behavior emerges through a dynamic interaction between cognitive agents and changing environmental demands. The investigation of information processing underlying adaptive…
stat.AP2019
A state space approach to dynamic modeling of mouse-tracking data
Antonio Calcagnì, Luigi Lombardi, Marco D'Alessandro
Mouse-tracking recording techniques are becoming very attractive in experimental psychology. They provide an effective means of enhancing the measurement of some real-time cognitiv…